#causal-intervention

1 articles

01 ·★ MEMBER·PAPER·13 min read Paper Explained: Reason Through the Latent! — Visual information being in a latent state doesn't mean the answer uses it Several latent visual reasoners keep their accuracy even when you corrupt the latent state — the answer is not actually flowing through it. CVRR (arXiv:2609.06746) starts recurrence from the question state after the image has been absorbed, then closes every other image-conditioned route before decoding, making latent computation necessary while keeping performance. A walkthrough grounded only in the paper's text, including its causal interventions.